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Record W3157676151 · doi:10.1111/arcm.12683

Comparing Chemistries: Inter‐Laboratory Evaluation of Glass Bead Compositional Research in the Great Lakes Region

2021· article· en· W3157676151 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueArchaeometry · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsWestern UniversityMcMaster UniversityLaurentian University
FundersSigma Delta Epsilon-Graduate Women in Science
KeywordsNeutron activation analysisBeadInductively coupled plasma mass spectrometryArchaeologyProvenanceMineralogyMass spectrometryGeologyChemistryGeographyGeochemistryChromatographyRadiochemistry

Abstract

fetched live from OpenAlex

Glass beads from archaeological sites in the North American Great Lakes region have been subject to chemical analysis for several decades. Early work identified key elements in glass beads using Instrumental Neutron Activation Analysis (INAA), a bulk sample analysis method. Laser Ablation‐Inductively Coupled Plasma‐Mass Spectrometry (LA‐ICP‐MS) now offers an alternative, point‐based analytical method. We compare results of analyzing the same artifacts using INAA and LA‐ICP‐MS, and analyses undertaken in two LA‐ICP‐MS laboratories with differing data analysis protocols. Good comparability across methods and labs makes it possible to combine legacy and newly obtained data to explore interregional archaeological questions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.868

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.244
GPT teacher head0.355
Teacher spread0.111 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it